Predicting the future from the present - that's what logistic maps can do. For example,they can be used to predict the evolution of a population in the near future based on its present situation. They are relevant when studing systems such as entire populations, where the behaviour of the separate units - which maintain the ability to self-organise - cannot elaborate the behaviour of the system as a whole. Alexandre L'Her from the University of the Republic, and Montevideo,Uruguay, and colleagues maintain now developed an electronic version of a logistic map that is capable of interacting with many other maps, or making the model scalable. As a benchmark to elaborate new emerging behaviours of entire complex systems,they maintain studied networks of logistic maps coupled together at various levels.
Source: phys.org